You may future-proof your IT career by signing up for DSU's cutting-edge, UGC-Entitled Online Master of Computer Applications (MCA) degree. This program is for computer enthusiasts who want to lead the way in new ideas. This 2-year program is all online and lets you focus on AI, data science, cybersecurity, and other fields while also improving your knowledge of software and systems. DSU's Online MCA program gives you the skills you need to succeed in the fast-changing digital world. It includes live instructor, hands-on projects, and a curriculum that meets industry standards.
Cloud computing technologies
Data science
Blockchain technologies
Quantum Computing
Artificial Intelligence
Deep Learning
Big Data Analytics
IoT
Natural Language Processing
Mobile Application Development Techniques
Data Analytics & Visualization
Industrial IoT and Automation
Business Intelligence Technology
Business Data Analytics
Quantum Machine Learning
The online MCA course is designed keeping in mind the flexible and self-paced requirements of the learners. Its holistic features make way for every learner’s all-round development.
Software Engineer
Data Scientist
Cloud Developer
Cybersecurity Analyst
Full Stack Developer
Mobile App Developer
DevOps Engineer
Systems Analyst
AI/ML Engineer
Technical Project Manager
IT Services
Software Product Companies
Data Science & AI
Cloud Computing
FinTech
Cybersecurity
EdTech & HealthTech
Telecom
E-commerce
Government & Defense Tech
| Course Code | Title of the Course | Credits |
|---|---|---|
| MCAOL101 | ADVANCED DATA STRUCTURES AND ALGORITHMS | 3 |
| MCAOL102 | ADVANCED PYTHON PROGRAMMING | 3 |
| MCAOL103 | ADVANCED OPERATING SYSTEMS | 4 |
| MCAOL104 | RELATIONAL DATABASE MANAGEMENT SYSTEMS | 3 |
| MCAOL105 | MATHEMATICAL METHODS | 4 |
| MCAOL106 | ADVANCED DATA STRUCTURES AND ALGORITHMS LAB | 2 |
| MCAOL107 | ADVANCED PYTHON PROGRAMMING LAB | 2 |
| MCAOL108 | RDBMS LAB | 2 |
| 23 |
| Course Code | Title of the Course | Credits |
|---|---|---|
| MCAOL201 | MACHINE LEARNING WITH PYTHON | 3 |
| MCAOL202 | ADVANCED JAVA PROGRAMMING | 3 |
| MCAOL203 | DESIGN AND ANALYSIS OF ALGORITHMS | 4 |
| MCAOL204 | FULL STACK DEVELOPMENT | 3 |
| MCAOL205 | COMPUTER COMMUNICATION NETWORK | 3 |
| MCAOL206 | ADVANCED JAVA PROGRAMMING LAB | 2 |
| MCAOL207 | MACHINE LEARNING WITH PYTHON LAB | 2 |
| MCAOL208 | FULL STACK DEVELOPMENT LAB | 2 |
| MCAOL209X | ELECTIVE – I | 4 |
| 26 |
| Course Code | ELECTIVE - I |
|---|---|
| MCAOL2091 | CLOUD COMPUTING TECHNOLOGIES |
| MCAOL2092 | BIG DATA ANALYTICS |
| MCAOL2093 | DATA SCIENCE |
| MCAOL2094 | QUANTUM ALGORITHMS |
| MCAOL2095 | BLOCKCHAIN TECHNOLOGIES |
| Course Code | Title of the Course | Credits |
|---|---|---|
| MCAOL301 | CYBER SECURITY | 4 |
| MCAOL302 | EMBEDDED SYSTEMS AND INTERNET OF THINGS | 3 |
| MCAOL303X | ELECTIVE – II | 4 |
| MCAOL304X | ELECTIVE – III | 4 |
| MCAOL305X | ELECTIVE – IV | 4 |
| MCAOL306 | DESIGN AND ANALYSIS OF ALGORITHMS LAB | 2 |
| MCAOL307 | MINI PROJECT | 4 |
| 25 |
| Course Code | ELECTIVE - II |
|---|---|
| MCAOL3031 | CLOUD SECURITY & INFRASTRUCTURE |
| MCAOL3032 | DATA ANALYTICS & VISUALIZATION |
| MCAOL3033 | ARTIFICIAL INTELLIGENCE |
| MCAOL3034 | QUANTUM INFORMATION |
| MCAOL3035 | RESEARCH METHODOLOGY & IPR |
| Course Code | ELECTIVE - III |
|---|---|
| MCAOL3041 | IOT |
| MCAOL3042 | DATA MINING |
| MCAOL3043 | DEEP LEARNING |
| MCAOL3044 | QUANTUM ERROR CORRECTION |
| MCAOL3045 | MOBILE APPLICATION DEVELOPMENT TECHNIQUES |
| Course Code | ELECTIVE - IV |
|---|---|
| MCAOL3051 | INDUSTRIAL IOT AND AUTOMATION |
| MCAOL3052 | BUSINESS INTELLIGENCE TECHNOLOGY |
| MCAOL3053 | NATURAL LANGUAGE PROCESSING |
| MCAOL3054 | QUANTUM MACHINE LEARNING |
| MCAOL3055 | SOFTWARE PROJECT MANAGEMENT |
| Course Code | Title of the Course | Credits |
|---|---|---|
| MCAOL401X | GENERAL ELECTIVE | 4 |
| MCAOL402 | PROJECT | 6 |
| 10 | ||
| Total credits | 84 |
| Course Code | GENERAL ELECTIVE |
|---|---|
| MCAOL4011 | BUSINESS DATA ANALYTICS |
| MCAOL4012 | INDUSTRIAL SAFETY |
| MCAOL4013 | OPERATIONS RESEARCH |
Dr. Kavitha S N
Associate Professor - MCA
Program Coordinator & Associate Professor
Dr. Prakash Kandaswamy
Assistant Professor - MCA
Assistant Professor & Course Coordinators
Dr. M. Sudharsan
Assistant Professor - MCA
Assistant Professor & Course Coordinators
Our online MCA Degree Program leverages a unique blend of teaching and learning methodologies such as:
(Video and Audio Content)
(Digital Resources)
(Discussion Forums and Interaction)
(Test and Assignment)
The fee for four semesters is INR 1,20,000.
Candidate who has completed a graduation degree, such as B.E., B.Tech., B.Sc., B.Com., B.A., B.Voc., or BCA. It is preferable that they studied Mathematics at the 10+2 level or during their degree. Note: Candidates without a background in Mathematics must complete a mandatory bridge course.A minimum of 50% marks in the qualifying examination is required, or 45% for candidates from reserved categories.
A candidate with a minimum of 50% marks in aggregate (45% in case of a candidate belonging to SC/ST & OBC category).
Step 1: Registration
Pay an application fee of Rs. 1000/- + Taxes and sign up.
Step 2: Online application
Click on the ‘Apply Now’ tab and kickstart your application process. Fill in your personal details, upload all relevant documents, and pay the program fee.
Step 3: Document verification
Internal verification of all your documents takes about five working days, so sit back and wait for an approval notification from the DSU team.
Step 4: Admissions Confirmation
Upon successful verification, students will receive an admission confirmation along with access to the LMS platform.
Candidate who has completed a graduation degree, such as B.E., B.Tech., B.Sc., B.Com., B.A., B.Voc., or BCA. It is preferable that they studied Mathematics at the 10+2 level or during their degree. Note: Candidates without a background in Mathematics must complete a mandatory bridge course. A minimum of 50% marks in the qualifying examination is required, or 45% for candidates from reserved categories..
No
Yes. The online MCA course has been designed for flexibility, allowing students to balance work, studies, and personal commitments.
Candidates seeking admission to the programme have to fill the online application form available on the website. Before applying, candidates are advised to go through the programme eligibility and details provided on the University website.
The minimum duration of the online MCA degree is two years and spreads over four semesters.
84 credits
The online MCA course offers nine electives:
Yes. DSU is accredited with NAAC A+ grade.
Yes. The online MCA degree from DSU is considered at par with an on-campus degree.
Yes. DSU is accredited by NAAC with A+ grade and the online MCA degree is a UGC-Entitled degree; thus, the degree is recognised by employers.
The programme is 100% online with flexible schedules, offering evening or weekend classes, live and recorded sessions, with self-paced learning modules that are accessible 24/7 to accommodate working professionals.
Yes. Students gain access to virtual networking events, discussion forums, mentorship, webinars with industry leaders for enhanced professional connections.
An Academic Calendar with timelines for all the important dates will be sent to students.
Yes, the programme includes case studies, internships, projects, industry-focused assignments to enhance real-world business skills.
Yes. Dayananda Sagar University is accredited by NAAC with A+ and adheres to international academic standards, making the degree globally recognised and valued.
Yes. The course study material of the online programme will be available through the University’s Learning Management System (LMS).
The course study material for the online programme is designed with a four-quadrant approach and is available to students on the University’s LMS:
Students gain access to virtual networking events, discussion forums, mentorship, webinars with industry leaders for enhanced professional connections.
The programme delivery will be fully online ensuring flexibility and accessibility for all students. Live, interactive lectures will be conducted by course coordinators on weekends.
The four-quadrant course design approach will ensure a seamless and engaging learning experience. Dedicated course mentors will provide learning support to the students.
Yes. Guidance and mentoring from course coordinators will help students to navigate any academic challenges. Dedicated mentors will assist in learning and provide academic-related support.
A student shall be assessed for a course through Continuous Internal Assessment (CIA) and Semester End Examination (SEE). CIA and SEE will have 30:70 percent weightage, respectively.
Students can explore professions in various industries such as software & application development, cloud, systems & infrastructure, data & intelligence, cybersecurity, testing & quality, among many others.
The curriculum of the online MCA programme has been crafted by subject matter experts; it thoughtfully incorporates contemporary business and management topics alongside courses fostering contemporary business awareness. The curriculum and syllabus are approved by the Board of Studies as per University norms.
